The benchmark interest rate in Mexico was last recorded at 8.50 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Norway was last recorded at 4.50 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for France Interest Rate.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for India Interest Rate.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Portugal Interest Rate.

The benchmark interest rate in Brazil was last recorded at 14.75 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Iceland was last recorded at 7.50 percent. This dataset provides - Iceland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Iran Interest Rate.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for DR Congo Interest Rate.

Key information about India Long Term Interest Rate

• India Government Securities Yield: 10 Years was reported at 6.71 % pa in Jan 2025, compared with 6.78 % pa in the previous month.
• India Long Term Interest Rate data is updated monthly, available from May 1996 to Jan 2025.
• The data reached an all-time high of 13.96 % pa in May 1996 and a record low of 5.11 % pa in Oct 2003.
• Long Term Interest Rate is reported by reported by Reserve Bank of India.

• In the latest reports, India Short Term Interest Rate: Month End: India: MIBOR: 3 Months was reported at 7.19 % pa in Jun 2023.
• The cash rate (Policy Rate: Month End: Repo Rate) was set at 6.50 % pa in Jan 2025.
• India Exchange Rate against USD averaged 82.23 (USD/INR) in Jun 2023.

The benchmark interest rate in Ireland was last recorded at 4.50 percent. This dataset provides - Ireland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Kyrgyzstan Interest Rate.

This table contains 71 series, with data starting from 1934 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Rates (71 items: Bank rate; last Tuesday or last Thursday; Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate ...).

Lending Club offers peer-to-peer (P2P) loans through a technological platform for various personal finance purposes and is today one of the companies that dominate the US P2P lending market. The original dataset is publicly available on Kaggle and corresponds to all the loans issued by Lending Club between 2007 and 2018. The present version of the dataset is for constructing a granting model, that is, a model designed to make decisions on whether to grant a loan based on information available at the time of the loan application. Consequently, our dataset only has a selection of variables from the original one, which are the variables known at the moment the loan request is made. Furthermore, the target variable of a granting model represents the final status of the loan, that are "default" or "fully paid". Thus, we filtered out from the original dataset all the loans in transitory states. Our dataset comprises 1,347,681 records or obligations (approximately 60% of the original) and it was also cleaned for completeness and consistency (less than 1% of our dataset was filtered out).

TARGET VARIABLE

The dataset includes a target variable based on the final resolution of the credit: the default category corresponds to the event charged off and the non-default category to the event fully paid. It does not consider other values in the loan status variable since this variable represents the state of the loan at the end of the considered time window. Thus, there are no loans in transitory states. The original dataset includes the target variable “loan status”, which contains several categories ('Fully Paid', 'Current', 'Charged Off', 'In Grace Period', 'Late (31-120 days)', 'Late (16-30 days)', 'Default'). However, in our dataset, we just consider loans that are either “Fully Paid” or “Default” and transform this variable into a binary variable called “Default”, with a 0 for fully paid loans and a 1 for defaulted loans.

EXPLANATORY VARIABLES

The explanatory variables that we use correspond only to the information available at the time of the application. Variables such as the interest rate, grade, or subgrade are generated by the company as a result of a credit risk assessment process, so they were filtered out from the dataset as they must not be considered in risk models to predict the default in granting of credit.

FULL LIST OF VARIABLES

Loan identification variables:

id: Loan id (unique identifier).

issue_d: Month and year in which the loan was approved.

Quantitative variables:

revenue: Borrower's self-declared annual income during registration.

dti_n: Indebtedness ratio for obligations excluding mortgage. Monthly information. This ratio has been calculated considering the indebtedness of the whole group of applicants. It is estimated as the ratio calculated using the co-borrowers’ total payments on the total debt obligations divided by the co-borrowers’ combined monthly income.

loan_amnt: Amount of credit requested by the borrower.

fico_n: Defined between 300 and 850, reported by Fair Isaac Corporation as a risk measure based on historical credit information reported at the time of application. This value has been calculated as the average of the variables “fico_range_low” and “fico_range_high” in the original dataset.

experience_c: Binary variable that indicates whether the borrower is new to the entity. This variable is constructed from the credit date of the previous obligation in LC and the credit date of the current obligation; if the difference between dates is positive, it is not considered as a new experience with LC.

Categorical variables:

emp_length: Categorical variable with the employment length of the borrower (includes the no information category)

purpose: Credit purpose category for the loan request.

home_ownership_n: Homeownership status provided by the borrower in the registration process. Categories defined by LC: “mortgage”, “rent”, “own”, “other”, “any”, “none”. We merged the categories “other”, “any” and “none” as “other”.

addr_state: Borrower's residence state from the USA.

zip_code: Zip code of the borrower's residence.

Textual variables

title: Title of the credit request description provided by the borrower.

desc: Description of the credit request provided by the borrower.

We cleaned the textual variables. First, we removed all those descriptions that contained the default description provided by Lending Club on its web form (“Tell your story. What is your loan for?”). Moreover, we removed the prefix “Borrower added on DD/MM/YYYY >” from the descriptions to avoid any temporal background on them. Finally, as these descriptions came from a web form, we substituted all the HTML elements by their character (e.g. “&” was substituted by “&”, “<” was substituted by “<”, etc.).

RELATED WORKS

This dataset has been used in the following academic articles:

Sanz-Guerrero, M. Arroyo, J. (2024). Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending. arXiv preprint arXiv:2401.16458. https://doi.org/10.48550/arXiv.2401.16458

Ariza-Garzón, M.J., Arroyo, J., Caparrini, A., Segovia-Vargas, M.J. (2020). Explainability of a machine learning granting scoring model in peer-to-peer lending. IEEE Access 8, 64873 - 64890. https://doi.org/10.1109/ACCESS.2020.2984412

The dataset "Guaranteed debt of the City of Paris" presents the breakdown of the debt guaranteed by the Parisian collectivity. The debt guaranteed by the Paris authority mainly includes loans taken out by guarantee beneficiaries for social housing operations. The other guarantees relate mainly to development operations and guarantees for the benefit of associations." Column name | Description ---|--- Year of publication | Year of the Administrative Account for which the data were published Community | In accounting, the term "nature" means the account in the accounting nomenclature (account number - Heading), expenditure or revenue. Nature | lending bank in the case of a bank loan; bank or group of banks that organised the issue in the case of a bond issue Year of mobilisation | Date of collection by the City of Paris Depreciation profile. of the loan | End of life date of the loan Beneficiary designation | Amount originally subscribed. Purpose of the guaranteed loan | Since almost all of the City's loans are of the "in fine" type, the capital remaining due is generally equal to the nominal amount, i.e. the amount of the loan (except in the case of depreciation in the year) Lender or lead organisation | Indexed rates are rates adjusted periodically according to market values Initial amount | The borrowings of the City of Paris are indexed to different interest rates: EURIBOR (Euro area interbank rate), TAG (Annual rolling rate) and T4M (Monthly average rate of the Monetary Market), TAG and T4M being derived from EONIA (day-to-day rate) Capital outstanding at 31/12 of the year of publication | Rate paid for the first instalment Residual period | Rate calculated over the term of the loan Periodicity of repayments | Method of amortization of the loan: almost all of the City's loans are of the "in fine" type, i.e. fully repaid on the last day of the contract Initial rate - Rate | Possibility left contractually to the City to get out of the loan by repaying it in advance Initial rate - Index | Index type (e.g. 3-month EURIBOR, DELIVERY A ...) Initial rate - Actuarial rate | Rate calculated over the term of the loan Rate on the date of the vote on the budget or average rate recorded over the year - Rate | Rates after any hedging operations. Type of interest rate: F: fixed; V: simple variable; C: complex variable Rate on the date of the vote on the budget or average rate recorded over the year - Index | Rates after any hedging operations. Index type (e.g. 3-month EURIBOR, etc.) Rate on the date of the vote on the budget or average rate recorded over the year - Rate level | Rates after any hedging operations. For variable rate borrowings, level at the date of vote of the budget. Guaranteed annuity during the year - Interest | Interest paid by the beneficiary organisation during the financial year for the guaranteed loan Guaranteed annuity during the year - Capital | Capital repaid by the beneficiary organisation during the financial year for the guaranteed loan **Codification of ** Amortization profile of the loan:**** Acronyms have followed the evolution of regulatory publishing CA 2014 to CA 2018: C constant depreciation, P progressive depreciation, F in fine, X others (please specify). CA 2012 to CA 2013 C constant annual depreciation, P progressive annual depreciation, F in fine, S half-yearly, M monthly, X others to be specified. CA 2007 to CA 2011 C constant annual depreciation, P progressive annual depreciation, F in fine, S half-yearly, Q quarterly, M monthly, X other (DCC loans with deferred interest or compensating interest).

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Latvia.

The benchmark interest rate in Hong Kong was last recorded at 4.75 percent. This dataset provides the latest reported value for - Hong Kong Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.